Evidence map›Paper›PMID 34733567›Full record

ArticleNepal journal of epidemiology2021

Clinical and Molecular facets of Dengue Virus infection from Bengaluru, South India.

Shantala Gowdara Basawarajappa, Ambica Rangaiah, Shwetha Jinnahalli Venugopal, Chakrakodi N Varun, Vijay Nagaraj, Shashiraja Padukone, Sathyanarayan Muthur Shankar

Open access · hybridAbstract read
In one paragraph

Article in Nepal journal of epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.2field-weighted citation impact, top 41% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Shantala Gowdara BasawarajappaDepartment of Microbiology, Bangalore Medical College and Research Institute, Bengaluru, Karnataka, India.
Ambica RangaiahDepartment of Microbiology, Bangalore Medical College and Research Institute, Bengaluru, Karnataka, India.
Shwetha Jinnahalli VenugopalDepartment of Microbiology, Bangalore Medical College and Research Institute, Bengaluru, Karnataka, India.
Chakrakodi N VarunState Level VRDL, Department of Microbiology, Bangalore Medical College and Research Institute, Bengaluru, Karnataka, India.
Vijay NagarajInstitute of Animal Health and Veterinary Biologicals, Hebbal, Bengaluru-560024.
Shashiraja PadukoneState Level VRDL, Department of Microbiology, Bangalore Medical College and Research Institute, Bengaluru, Karnataka, India.
Sathyanarayan Muthur ShankarDepartment of Microbiology, Bangalore Medical College and Research Institute, Bengaluru, Karnataka, India.
Bangalore Medical College and Research Institute · INInstitute of Animal Health and Veterinary Biologicals · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDengue virus (DENV) continues to be an epidemic with high mortality rates. The clinical features, especially in the early phase of infection, are nonspecific and there is no single marker that can be reliably deployed for diagnostics. Further, serotype and genotype diversity is not clearly understood. This study was conceived to understand the performance characteristics of various diagnostic markers; serotype and genotype distribution is thus a vital requirement.

methodsA subset of blood samples was obtained for all the clinically suspected Dengue cases during the period January to December 2017. The samples were tested for IgM and IgG antibodies and NS1 antigen by both ELISA and rapid tests. Real-time PCR, Conventional PCR and sequencing was performed based on the serology results. Correlation of the data with demographic and clinical details was used to analyze the performance characteristics of various tests.

resultsClinical signs and symptoms could not predict dengue positivity due to lack of specific symptoms. The performance of IgM rapid test was found to be lower than the ELISA method (53.5% agreement). The NS1 rapid and NS1 ELISA tests were comparable (89.2% agreement). Majority of the infections were caused due to DEN-2 serotype and phylogenetic analysis revealed all the sequenced DEN-2 serotypes belong to Genotype IV. Three sequences were deposited into NCBI GenBank (GenBank accession number MW583116, MW579054 and MW579053).

conclusionOur comprehensive data suggests that NS1 ELISA and PCR are best used in the early phase of dengue infection (< 5 days post-onset of fever), whereas IgM antibody detection is reliable only in the late phase. We also highlight the unreliable performance of rapid tests.

Indexed as

DemographyDengue VirusEnzyme-Linked Immunosorbent AssayGenotypeReal-Time Polymerase Chain Reaction

Identifiers

PMID34733567
PMCPMC8560139
OpenAlexW3201871855

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.